Data Visualization Analyst: Power BI, Python & R Dashboards

Modern Technology Solutions, Inc. (MTSI); Seattle (WA); On-site; USD 85,000 - 110,000; Full time

Job summary

Modern Technology Solutions, Inc. (MTSI) seeks a Data/BI Analyst to transform raw data into compelling visual stories using Power BI, R, and Python. You will partner with multiple departments to create dashboards that reveal KPIs and drive actionable insights.

You will gather data requirements, iterate on visuals with user feedback, and build a library of visualization assets while developing strong data-driven decision-making within teams.

Qualifications

• 2–5 years of relevant experience in data/BI analysis.
• Pursuing or degree in Data Science, MIS, or related field.
• Proficiency in data visualization tools (Tableau, Power BI).
• Strong analytical skills for interpreting complex datasets.
• Excellent communication to convey technical concepts to non-technical audiences.
• Creative mindset with attention to design in data presentation.
• Ability to work independently and collaboratively on multiple projects.

Responsibilities

• Create dashboards that monitor performance and track KPIs for diverse teams.
• Collaborate with cross-functional teams to understand data requirements.
• Iterate visualizations based on user feedback to improve usability.
• Document visualization methodologies and maintain a library of assets.
• Work with seasoned professionals to understand the strategic role of data.

Skills

Data visualization

Dashboards

KPIs

Analytics

Communication

Design aesthetics

Teamwork

Education

Data Science or MIS degree or related field

Tools

Power BI

Tableau

GitHub

SharePoint

Job description

Modern Technology Solutions, Inc. (MTSI) seeks a Data/BI Analyst to transform raw data into compelling visual stories using Power BI, R, and Python. You will partner with multiple departments to create dashboards that reveal KPIs and drive actionable insights.

You will gather data requirements, iterate on visuals with user feedback, and build a library of visualization assets while developing strong data-driven decision-making within teams.